🤖🧠 AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram

This workflow optimizes layout and implements natural language processing through intelligent position adjustment and multi-node AI processing. It automatically calls external APIs for node rearrangement, enhancing structural clarity, and deeply integrates OpenAI technology to support complex Q&A and context management. Flexible batch processing and conditional branching features make it adaptable to various scenarios, making it suitable for operations engineers and automation developers, helping enterprises build intelligent Q&A systems and efficient business processes.

The Zoom AI Meeting Assistant is an intelligent meeting management tool that can automatically extract recordings and transcriptions from Zoom meetings, generate detailed meeting minutes, and distill actionable tasks from them. This tool synchronizes tasks with ClickUp and automatically schedules follow-up meetings, significantly enhancing meeting efficiency and reducing the time spent on manual organization and potential omissions. By integrating with multiple platform services, users can efficiently manage meeting content, ensure accurate information delivery, and improve team collaboration capabilities.

The intelligent appointment coordination assistant automatically identifies users' available time by combining AI dialogue with calendar management. It intelligently recommends meeting times and engages in natural language interactions with clients to collect appointment information. It effectively avoids double bookings, responds promptly to client needs, and automatically sends follow-up emails, enhancing customer service efficiency. This tool is suitable for businesses and service providers that need to manage complex schedules, significantly reducing communication costs and optimizing business processes while improving the customer experience.

This workflow integrates data scraping and AI technology to automatically extract and summarize content from Wikipedia pages. Users only need to provide the target page URL, and the system will efficiently scrape and convert it into readable text, subsequently generating a concise summary. This process significantly enhances information retrieval efficiency, making it suitable for researchers, content creators, and educators, helping them quickly grasp core information, save time, and improve work efficiency.

This workflow builds an intelligent assistant through the LINE chat platform, integrating Google Calendar and Gmail services, and is capable of understanding users' natural language requests. Users can conveniently query and manage their schedules and email information, while benefiting from intelligent responses provided by AI language models and knowledge bases. It effectively reduces manual operations and enhances work efficiency, making it particularly suitable for individuals and teams that require cross-platform information integration, thereby simplifying daily information retrieval and management processes.

This workflow utilizes intelligent methods to automatically extract daily meeting data from Google Calendar and generate concise meeting summaries using Google Gemini AI. The generated summaries are sent in real-time to a designated Slack channel, ensuring that team members quickly receive the key points of the meetings. This process not only enhances the efficiency of organizing meeting content but also reduces the time cost of manual note-taking. It is suitable for business managers, project managers, and remote working teams, significantly improving information sharing and collaboration efficiency.

This workflow integrates AI analysis capabilities to automatically process and organize key information from sales calls, including competitor data, integration tool information, customer objections, and actual use cases. It intelligently stores this information in a Notion database. Through multiple conditional judgments and throttling mechanisms, it ensures data accuracy and the stability of API calls, helping sales and product teams quickly gain insights into customer feedback and market dynamics, thereby enhancing work efficiency and decision-making quality.

This workflow utilizes the Kling API to automatically generate 360-degree virtual fitting videos for clothing. Users only need to upload images of the model and the clothing, and set the parameters to quickly obtain dynamic display effects. It breaks through the limitations of traditional static images, providing a more realistic clothing wearing experience for e-commerce platforms, reducing return and exchange rates, and enhancing consumers' purchasing decision efficiency. It is suitable for various scenarios, including e-commerce, fashion brands, and content creators.